scholarly journals How is Innovation Performance Under the Restriction of Industry Cluster: Evidence from a Survey on High-Tech Firms

CONVERTER ◽  
2021 ◽  
pp. 11-20
Author(s):  
Yongmao Wang
Keyword(s):  
Innovation Management ◽  
High Tech ◽  
Input Output ◽  
Industry Cluster ◽  
Firm Level ◽  
High Tech Industry ◽  
Output Efficiency ◽  
Innovation Ability ◽  
Innovative Resources ◽  
Firm Survey

Under-development of high-tech industry cluster hampers the strategy of innovation-driven for less developed regions. While prior studies has demonstrated innovation difference among regions, little attention has been paid to innovation heterogeneity at firm-level. An conceptual model is adopted to evaluate innovative activities of high-tech firms in under-development regions. Using unique firm survey, an investigation was thoroughly conducted on high-tech firms. Based on survey data of 142 high-tech firms, some interesting results emerge. Lack of support from industry cluster, depression effect of technological innovation is not obvious. SMEs have more inclination to innovate, asymmetry exist between occupation of innovative resources and innovation ability, and weak innovation agglomeration effect shows in two development zones. Further analysis on input-output efficiency of innovation indicate that, input-output efficiency of R&D funding is relatively good, but R&D personnel and innovation management are insufficient, which lead to low effective conversion effect.

scholarly journals The Use of Design Thinking in Transdisciplinary Research and Innovation Consortia: Challenges, Enablers, and Benefits

2019 ◽  
Vol 7 (3) ◽  
pp. 96-122
Author(s):  
Antje Gonera ◽  
Reinhold Pabst
Keyword(s):  
Design Thinking ◽  
Innovation Management ◽  
Relevant Information ◽  
Scientific Data ◽  
High Tech ◽  
Publicly Funded ◽  
High Tech Industry ◽  
Research And Innovation ◽  
Corporate Context ◽  
Corporate Environments

The innovation management literature describes a competitive advantage when applying Design Thinking (DT) in corporate environments. In this paper we study the perceived challenges, enablers, and benefits for implementing DT in publicly funded transdisciplinary industry-academia research and innovation consortia (RIC). We facilitate and investigate five large RIC from the food and high-tech industry in Norway and Germany using an explorative qualitative action research design. Our research shows that the challenges of using DT in RIC are to some extent comparable to those for the corporate context. Additionally, we identify distinct challenges for RIC. Benefits from using DT in RIC are stronger user and innovation focus, better transdisciplinary collaboration, and triangulation of qualitative with scientific data. We suggest that complex RIC benefit from an intermediary (DT) role translating business needs into research questions, and research results into understandable and business-relevant information and innovation.

THE BOSTON ROUTE 128 MODEL OF HIGH-TECH INDUSTRY DEVELOPMENT

2006 ◽  
Vol 10 (01) ◽  
pp. 47-63 ◽  
Author(s):  
JARUNEE WONGLIMPIYARAT
Keyword(s):  
Innovation Management ◽  
High Technology ◽  
Industrial Clusters ◽  
Management Policy ◽  
High Tech ◽  
High Tech Industry ◽  
Policy Makers ◽  
Entrepreneurial Management ◽  
Route 128 ◽  
Technology Commercialisation

This study applies the concept of industrial clusters to explain the development of technologically sophisticated region of Boston Route 128. It is argued that the success of Boston, Massachusetts, is rooted in innovation, entrepreneurial management and the policy towards technology commercialisation. To consider the argument, the paper proposes the cluster model to capture the specific features of Boston Route 128. It represents a model of the universities working with industries to form a cluster of high-technology-based firms. The venture capital accelerates the process of technology commercialisation, giving rise to a new Boston model of innovation management. Policy makers may use the Boston model as a benchmark to evaluate their performance in supporting high-tech industries.

Sectoral Differences in the Effect of Industrial Agglomeration

2011 ◽  
Vol 225-226 ◽  
pp. 1192-1195
Author(s):  
Jing Yang
Keyword(s):  
Empirical Evidence ◽  
Principle Component Analysis ◽  
High Tech ◽  
Industrial Agglomeration ◽  
Input Output ◽  
High Tech Industry ◽  
Principle Component ◽  
Industry Agglomeration ◽  
Sectoral Differences ◽  
Capital Intensive

This paper derives related-industry from input-output method, and is the first to apply the result into the study of the externality effect of within-industry agglomeration and related-industry co-agglomeration. As a main form of externality, localization economy can be resolved into within-industry agglomeration and related-industry co- agglomeration, this paper used Input-Output method and principle component analysis to identify related-industry. This paper finds the empirical evidence of within-industry agglomeration and related-industry co-agglomeration, within-industry agglomeration is the main source for labor-intensive industries, and related-industry co-agglomeration is the main source for capital-intensive and high-tech industry industries. This paper also finds that productivity will vary in an "inverted U" shape with the increase of within-industry agglomeration and related-industry co-agglomeration degree. These findings are beneficial for Government to make decisions of industry transfer.

Empirical Study of Knowledge Fusion Process within Chinese High-Tech Industry Clusters Based on Information Fusion Method

2009 ◽  
Vol 08 (04) ◽  
pp. 353-361
Author(s):  
Congying Wang ◽  
Bei Hu ◽  
Peng Li
Keyword(s):  
Information Fusion ◽  
Knowledge Integration ◽  
Developed Countries ◽  
High Tech ◽  
Fusion Method ◽  
Integration Process ◽  
Industry Clusters ◽  
Global Knowledge ◽  
Industry Cluster ◽  
High Tech Industry

In order to consider the future development of high-tech industry clusters, this paper applies an evolution perspective to look into the knowledge integration process from both local and global knowledge linkages of entrepreneurs within the industry cluster. This paper has established a model to explore the entrepreneur's knowledge spillover and diffusion process which promotes the high-technology industry cluster's technology upgrading. Analysis is based on data from questionnaires and interviews with 182 entrepreneurs in the Dongwan software high-tech industry cluster of Guangdong, China. Using the information fusion method the study analyses the distinction of high-tech industry clusters between developing countries and developed countries based on the survey, and found that the knowledge integration process has tremendous influence on industry cluster development, and the co-existence of both high levels of local and global knowledge linkages can greatly affect entrepreneur development and the possibility for the cluster to undertake transformation.

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